Research Engineer (AI)

Location: Hybrid in New York or the San Francisco Bay Area, United States

Company

hirify.global develops an end-to-end AI platform that structures data, automates digital workflows, deploys agentic solutions, evaluates outcomes, and integrates human expertise.

What you will do

• Design benchmarks and reinforcement learning environments that measure real model capabilities for frontier labs and enterprise clients.
• Develop evaluation methodologies, scoring frameworks, rubrics, and evaluation architectures.
• Write and ship production-quality code implementing research designs.
• Build and maintain data pipelines that support evaluation runs.
• Analyze results and make evaluations reproducible.
• Collaborate with Research Scientists, Solutions Architects, and ML software engineers.

Requirements

• Hybrid work in New York or the San Francisco Bay Area is expected.
• Production-quality coding every day is required.
• Fluency in Python and familiarity with the modern machine learning stack.
• Experience building evaluation systems, reinforcement learning environments, or training and inference infrastructure.
• Hands-on experience with modern agentic workflows and familiarity with reinforcement learning methods and frontier model evaluation.
• Experience turning ambiguous research questions into working systems and publishing or shipping the results.

Nice to have

• Deeper experience with reinforcement learning and frontier model evaluation.

Culture & Benefits

• Ownership, innovation, and autonomy are central to the working environment.
• Work alongside clients and teams focused on advanced AI and human-AI collaboration.
• The organization operates at a fast pace with significant ambiguity and complex technical challenges.
• Full-time offers include bonuses and equity.
• Compensation is adjusted by geographic pay tier, location, experience, skills, internal equity, and market conditions.